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HOsT: Towards a Low-Cost Fog Solution via Smart Objects to Deal with the Heterogeneity of Data in a Residential Environment
| Content Provider | MDPI |
|---|---|
| Author | Artur, H. Brandão Vin, ícius P. Gonçalves Filho, Geraldo P. Rocha Nobre, Renato A. Meneguette, Rodolfo I. Freitas, Heitor |
| Copyright Year | 2022 |
| Description | With the fast and unstoppable development of technology, the amount of available technological devices and the data they produce is overwhelming. In analyzing the context of a smart home, a diverse group of intelligent devices generating constant reports of its environment information is needed for the proper control of the house. Due to this demand, many possible solutions have been developed in the literature to assess the need for processing power and storage capacity. This work proposes HOsT (home-context-aware fog-computing solution)—a solution that addresses the problems of data heterogeneity and the interoperability of smart objects in the context of a smart home. HOsT was modeled to compose a set of intelligent objects to form a computational infrastructure in fog. A publish/subscribe communication module was implemented to abstract the details of communication between objects to disseminate heterogeneous information. A performance evaluation was carried out to validate HOsT. The results show evidence of efficiency in the communication infrastructure; and in the impact of HOsT compared with a cloud infrastructure. Furthermore, HOsT provides scalability about the number of devices acting simultaneously and demonstrates its ability to work with different devices. |
| Starting Page | 6257 |
| e-ISSN | 14248220 |
| DOI | 10.3390/s22166257 |
| Journal | Sensors |
| Issue Number | 16 |
| Volume Number | 22 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-08-20 |
| Access Restriction | Open |
| Subject Keyword | Sensors Information and Library Science Fog Computing Iot Mqtt Smart Objects Computational Resources Data Heterogeneity Interoperability |
| Content Type | Text |
| Resource Type | Article |
